Based on the fair spinner shown, which statements are true …

Mathematics Questions

Based on the fair spinner shown, which statements are true regarding the outcomes of one spin? 1. The probability of each outcome is equal. 2. The probability of each outcome is different. 3. The outcomes have a uniform probability distribution. 4. The outcomes have a nonuniform distribution.

Short Answer

The probability measures the likelihood of an event and is calculated using the formula Probability = Required Outcome / Total Outcomes. For a fair spinner with 4 faces, each color has a probability of 0.25, resulting in a uniform probability distribution among the outcomes.

Step-by-Step Solution

Step 1: Understand Probability Basics

To grasp the concept of probability, it’s essential to know that it measures the likelihood of a specific event occurring. In the scenario of a fair spinner, the probability for each outcome (like landing on a color) is determined by the formula: Probability = Required Outcome / Total Possible Outcomes. This means that if there are multiple outcomes, each has a defined chance of occurring.

Step 2: Calculate Total Possible Outcomes

For the fair spinner, we need to identify how many distinct outcomes are available. Since the spinner is described as having 4 faces, these represent the possible outcomes. Thus, you find that the total possible outcomes are:

  • Face 1
  • Face 2
  • Face 3
  • Face 4

So, the total number of possible outcomes equals 4.

Step 3: Determine Individual Probability

With the total outcomes known, you can now find the probability for each color on the spinner. Each outcome has 1 possibility since there’s only one of each color. Hence, the probability that the spinner lands on each color is calculated as follows:

  • P(each color) = 1 (possibility) / 4 (total outcomes) = 0.25

As a result, since all outcomes yield the same probability of 0.25, the outcomes exhibit a uniform probability distribution.

Related Concepts

Probability

A measure of the likelihood that a specific event will occur, calculated as the ratio of the number of favorable outcomes to the total number of possible outcomes

Total Possible Outcomes

The complete set of distinct outcomes that can occur in a probability event, which is essential for calculating the probability of each individual outcome

Uniform Probability Distribution

A type of probability distribution where all outcomes have the same probability of occurring, indicating that each outcome is equally likely.

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